TE Connectivity (TEL) Cost of Revenue (2009 - 2026)
TE Connectivity (TEL) reported Cost of Revenue of $3.33 billion for fiscal Q3 2026 (quarter ended Jun 26, 2026), up 13.3% from $2.93 billion a year earlier and up 10.9% from the prior quarter.
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Analysis
TE Connectivity (TEL) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 26, 2026, TE Connectivity's Cost of Revenue came in at $12.34 billion, up 14.5% year-over-year; for FY2025 (ended Sep 26, 2025), it was $11.18 billion, up 7.6% from FY2024.
- Cost of Revenue has a five-year compound annual growth rate of 5.8% (FY2020 to FY2025).
- By fiscal year, Cost of Revenue came in at $10.39 billion in FY2024 (-5.4%), $10.98 billion in FY2023 (-0.5%), $11.04 billion in FY2022 (+10.0%) and $10.04 billion in FY2021 (+19.0%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Cost of Revenue in data going back to fiscal Q2 2009.
- Year over year, Cost of Revenue has now increased in each of the last six quarters, with growth averaging 8.9% over the last eight quarters.
- The high point for year-over-year Cost of Revenue in five years was fiscal Q1 2026 (growth of 18.3%); the low point was fiscal Q2 2024 (a decline of 9.5%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $3 billion (Q2 2026), $2.93 billion (Q1 2026) and $3.09 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 12.78 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 5.21 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 7.95 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 5.68 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 3.51 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 2.04 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.22 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 3.82 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 2.40 Bn |
| 10 | TE Connectivity | 63.79 Bn | 59.08 Bn | 1.84 Bn | 3.33 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 3.33 Bn |
| Mar 27, 2026 | 3.00 Bn |
| Dec 26, 2025 | 2.93 Bn |
| Sep 26, 2025 | 3.09 Bn |
| Jun 27, 2025 | 2.93 Bn |
| Mar 28, 2025 | 2.68 Bn |
| Dec 27, 2024 | 2.48 Bn |
| Sep 27, 2024 | 2.69 Bn |
| Jun 28, 2024 | 2.59 Bn |
| Mar 29, 2024 | 2.60 Bn |
| Dec 29, 2023 | 2.51 Bn |
| Sep 29, 2023 | 2.75 Bn |
| Jun 30, 2023 | 2.70 Bn |
| Mar 31, 2023 | 2.88 Bn |
| Dec 30, 2022 | 2.65 Bn |
| Sep 30, 2022 | 3.01 Bn |
| Jun 24, 2022 | 2.77 Bn |
| Mar 25, 2022 | 2.67 Bn |
| Dec 24, 2021 | 2.59 Bn |
| Sep 24, 2021 | 2.56 Bn |
API Access
TE Connectivity Cost of Revenue API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=TEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "TEL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=TEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();